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<table width="100%" summary="page for cutRulesetsAndMeasurePredictQual {qruleset}"><tr><td>cutRulesetsAndMeasurePredictQual {qruleset}</td><td align="right">R Documentation</td></tr></table>
<h2>Cut Rule Set And Measures The Quality</h2>


<h3>Description</h3>

<p>
Cuts rule set and measures the quality of predict table.
</p>


<h3>Usage</h3>

<pre>
cutRulesetsAndMeasurePredictQual(ruleSet, testData, trainData, classes, name, rulesToCut)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>ruleSet</code></td>
<td>
a given rule set.</td></tr>
<tr valign="top"><td><code>testData</code></td>
<td>
a test data used in final quality test.</td></tr>
<tr valign="top"><td><code>trainData</code></td>
<td>
a train data used in cutting a rule set.</td></tr>
<tr valign="top"><td><code>classes</code></td>
<td>
all possible classes of the data set.</td></tr>
<tr valign="top"><td><code>name</code></td>
<td>
name of data set.</td></tr>
<tr valign="top"><td><code>rulesToCut</code></td>
<td>
rate indicating number of rules to cut.</td></tr>
</table>

<h3>Details</h3>

<p>
Multi-task function used to automate the process of measuring the quality for different data sets.
</p>



<hr><div align="center">[Package <em>qruleset</em> version 1.0 <a href="00Index.html">Index]</a></div>

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